Data Science in Insurance: Expansion and Key Issues


March 2019 – As investment in data science expands, challenges arise around organization, new data, and talent. CIOs are finding that older practices and techniques won’t work in this rapidly changing environment.

Successful data science programs need to go outside normal channels to find and grow talent as well as to leverage technology on cloud platforms. Unlike other types of investment, data science ROI is hard to quantify. Strong business advocacy is crucial from the outset to create a sustained capability and ensure impactful results aligned with business strategy.

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